Call Number (LC) Title Results
QA278 .Z45 2006eb Models for discrete data / 1
QA278 .Z45 2022 Applied multivariate statistics with R / 1
QA278 .Z86 1982 Clustering of large data sets / 1
QA278 ebook Estadística descriptiva para datos categóricos /
Técnicas multivariantes de interdependencia : casos reales y prácticos de investigación / 		2
QA278.2 Robust correlation : theory and applications /
Adaptive regression for modeling nonlinear relationships
Bayesian mediation analysis using R /
Analysis of incidence rates /
Introduction to Statistical Mediation Analysis.
Call center forecasting : linear regression models.
R-squared and root mean squared error (RMSE).
What is robust regression?.
Summary of regression models.
Logistic regression.
Interpretation of regression coefficients.
Multiple regression.
Use of regression models.
An introduction to partial correlations.
Introduction to regression model.
Quantile regression : theory and applications /
Applied regression analysis and experimental design /
Correlated data analysis modeling, analytics, and applications /
S+SpatialStats : user's manual for Windows and UNIX /
Perspectives on spatial data analysis
From basic survival analytic theory to a non-standard application /
Linear regression /
Improving efficiency by shrinkage : the James-Stein and ridge regression estimators /
INTRODUCTION TO SPATIAL DATA SCIENCE WITH GEODA
Effective statistical learning methods for actuatries.
Fundamentals of spatial analysis and modelling /
Proportional Hazards Regression.
Analyzing spatial models of choice and judgment /
Robust regression : analysis and applications /
Linear Regression Models : Applications in R.
Applied regression modeling /
Spatial analysis along networks : statistical and computational methods /
Statistical inference for models with multivariate t-distributed errors /
Rank correlation methods /
Statistical regression modeling with R : longitudinal and multi-level modeling /
Survival analysis : proportional and non-proportional hazards regression /
Nonlinear dimensionality reduction techniques a data structure preservation approach /
Kernel mode decomposition and the programming of kernels /
Generalized additive models /
Handbook of regression analysis /
Theory of ridge regression estimation with applications /
Regression analysis Microsoft Excel /
Robust nonlinear regression : with applications using R /
Model Discrimination for Nonlinear Regression Models /
Modern applied regressions : Bayesian and frequentist analysis of categorical and limited response variables with R and Stan /
What are correlation and coefficient of determination in 3 minutes?
What is Linear regression in 3 minutes?
Handbook of regression modeling in people analytics : with examples in R and Python /
Regression : models, methods and applications /
Analysis of longitudinal data by example /
Regression model diagnostics /
Real-world applications of regression models with count outcomes /
Statistics for spatial data /
Spatial Point Patterns : Methodology and Applications with R.
Logistic regression using SAS : theory and application /
Morphisms for quantitative spatial analysis /
Quantile regression theory and applications /
Applied logistic regression.
Regression analysis with Python : learn the art of regression analysis with Python /
Semiparametric regression with R /
Regression analysis with R : design and develop statistical nodes to identify unique relationships within data at scale /
Transactions on computational science XX : special issue on Voronoi diagrams and their applications /
Essential statistics, regression, and econometrics
Linear regression.
Regression analysis and hypothesis testing in R : inferring business relationships /
Bilinear regression analysis : an introduction /
Essential statistics, regression, and econometrics /
Learning regression analysis by simulation /
Applied nonparametric regression /
The art of regression modeling in road safety /
Lectures on the nearest neighbor method /
Modern methodology and applications in spatial-temporal modeling /
Spatial regression analysis using Eigenvector spatial filtering
Multivariate reduced-rank regression theory, methods and applications /
Correlation parametric and nonparametric measures /
Interpretability of computational intelligence-based regression models /
Regression analysis with applications /
Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis /
Spatial data science : with applications in R /
Applications of linear and nonlinear models : fixed effects, random effects, and total least squares.
Applied linear regression for longitudinal data : with an emphasis on missing observations /
Numerical geometry, grid generation and scientific computing : proceedings of the 9th International Conference, NUMGRID 2018 / Voronoi 150, celebrating the 150th anniversary of G.F. Voronoi, Moscow, Russia, December 2018 /
Modeling and Interpreting Interactive Hypotheses in Regression Analysis.
GMDH-methodology and implementation in C /
Identifiability and regression analysis of biological systems models statistical and mathematical foundations and R scripts /
Quantile regression for cross-sectional and time series data applications in energy markets using R /
Logistische Regression Eine anwendungsorientierte Einführung mit R.
Statistical analysis of spatial and spatio-temporal point patterns / 		95
QA278.2 .A29 2004 Regression analysis for categorical moderators / 1
QA278.2 .A32 2021 Quantile regression : applications on experimental and cross section data using EViews / 2
QA278.2 .A34 1991 Multiple regression : testing and interpreting interactions / 1
QA278.2 .A4 1972 Regression and the Moore-Penrose pseudoinverse / 1
QA278.2 .A43 1972eb Regression and the Moore-Penrose pseudoinverse 1
QA278.2 .A433 Analyzing experimental data by regression / 2
QA278.2 .A434 1997 Understanding regression analysis / 1
QA278.2 .A434 1997eb Understanding regression analysis
Understanding regression analysis / 		2
QA278.2 .A4348 1999eb Logistic regression using the SAS system : theory and application / 1
QA278.2 .A435 1999 Multiple regression : a primer / 1
QA278.2 A45 2005eb Fixed effects regression methods for longitudinal data : using SAS / 1
QA278.2 .A45 2019 Learn about multiple regression in Stata with data from the Race Implicit Attitudes Test (2012) /
Learn about multiple regression in Stata with data from the British crime survey (2007-2008) /
Learn about multiple regression in Stata with data from the Eurobarometer (63.1, Jan-Feb 2005) /
Learn about simple regression in Stata with data from the Race Implicit Attitudes Test (2012) /
Learn about simple regression in Stata with data from the Eurobarometer (63.1, Jan-Feb 2005) / 		5
QA278.2 .A53 2010 Regression with linear predictors / 1
QA278.2 .A65 1996 Applied linear regression models / 1
QA278.2 .A66 1996 Applied linear statistical models / 1